Early molecular evolution of nucleic acid polymerases as inferred from the amino acid and nucleotide sequence homologies

1986 ◽  
Vol 16 (3-4) ◽  
pp. 330-331
Author(s):  
Koji Ohnishi
Keyword(s):  
Amino Acid ◽  
Molecular Evolution ◽  
Nucleic Acid ◽  
Nucleotide Sequence ◽  
Sequence Homologies

scholarly journals Nucleotide Sequence Evolution at the κ-Casein Locus: Evidence for Positive Selection Within the Family Bovidae

Genetics ◽  
1997 ◽  
Vol 147 (4) ◽  
pp. 1863-1872
Author(s):  
Todd J Ward ◽  
Rodney L Honeycutt ◽  
James N Derr
Keyword(s):  
Amino Acid ◽  
Molecular Evolution ◽  
Nucleotide Sequence ◽  
Positive Selection ◽  
Milk Protein ◽  
Nucleotide Substitution ◽  
Sequence Evolution ◽  
Amino Acid Sequence Level ◽  
Physiological Processes ◽  
The Family

Abstract κ-Casein is a mammalian milk protein involved in a number of important physiological processes. In the gut, the ingested protein is split into an insoluble peptide (para κ-casein) and a soluble hydrophilic glycopeptide (caseinomacropeptide). Caseinomacropeptide is responsible for increased efficiency of digestion, prevention of neonate hypersensitivity to ingested proteins, and inhibition of gastric pathogens. Variation within this peptide has significant effects associated with important traits such as milk production. The nucleotide sequences for regions of κ-casein exon and intron four were determined for representatives of the artiodactyl family Bovidae. The pattern of nucleotide substitution in κ-casein sequences for distantly related bovid taxa demonstrates that positive selection has accelerated their divergence at the amino acid sequence level. This selection has differentially influenced the molecular evolution of the two Kcasein split peptides and is focused within a 34-codon region of caseinomacropeptide.

KEC: unique sequence search by K-mer exclusion

2021 ◽  
Author(s):  
Pavel Beran ◽  
Dagmar Stehlíková ◽  
Stephen P Cohen ◽  
Vladislav Čurn
Keyword(s):  
Amino Acid ◽  
Nucleic Acid ◽  
Source Code ◽  
Unique Sequence ◽  
Supplementary Information ◽  
Supplementary Data ◽  
Laptop Computers ◽  
Sequence Search ◽  
Target Sequences ◽  
Cross Reference

Abstract Summary Searching for amino acid or nucleic acid sequences unique to one organism may be challenging depending on size of the available datasets. K-mer elimination by cross-reference (KEC) allows users to quickly and easily find unique sequences by providing target and non-target sequences. Due to its speed, it can be used for datasets of genomic size and can be run on desktop or laptop computers with modest specifications. Availability and implementation KEC is freely available for non-commercial purposes. Source code and executable binary files compiled for Linux, Mac and Windows can be downloaded from https://github.com/berybox/KEC. Supplementary information Supplementary data are available at Bioinformatics online.

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